@article{ref1,
title="Drowning detection algorithm for intelligent lifebuoy",
journal="IEEE International Conference on Unmanned Systems (ICUS)",
year="2021",
author="Yang, Dasheng and Cao, Yan and Feng, Yujing and Lai, Xiao and Pan, Zaisheng",
volume="",
number="",
pages="512-519",
abstract="Intelligent lifebuoy is a new type of unmanned high-speed surface rescue robot, but at present it mainly relies on remote control. An intelligent lifebuoy with the ability of drownning detection, distance detection and autonomous navigation will have a good application prospect in the field of surface rescue. This paper analyzes the characteristics of drowning person and the requirement of rescue control and proposes a drowning detection algorithm for intelligent lifebuoy. An improved YOLOv4 network is designed to detect the drowning person and a geometric distance measurement method based on the bounding box is designed to detect the position. The experimental results show that the algorithm can not only achieve a high detection accuracy, but also get the distance and direction synchronously, so as to help the intelligent lifebuoy to complete a fast and effective rescue.<p />",
language="",
issn="",
doi="10.1109/ICUS52573.2021.9641291",
url="http://dx.doi.org/10.1109/ICUS52573.2021.9641291"
}